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      Grasping the Intentions of Others with One's Own Mirror Neuron System

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          Abstract

          Understanding the intentions of others while watching their actions is a fundamental building block of social behavior. The neural and functional mechanisms underlying this ability are still poorly understood. To investigate these mechanisms we used functional magnetic resonance imaging. Twenty-three subjects watched three kinds of stimuli: grasping hand actions without a context, context only (scenes containing objects), and grasping hand actions performed in two different contexts. In the latter condition the context suggested the intention associated with the grasping action (either drinking or cleaning). Actions embedded in contexts, compared with the other two conditions, yielded a significant signal increase in the posterior part of the inferior frontal gyrus and the adjacent sector of the ventral premotor cortex where hand actions are represented. Thus, premotor mirror neuron areas—areas active during the execution and the observation of an action—previously thought to be involved only in action recognition are actually also involved in understanding the intentions of others. To ascribe an intention is to infer a forthcoming new goal, and this is an operation that the motor system does automatically.

          Abstract

          Functional magnetic resonance imaging is used to explore the responses of premotor cortical areas to observing the actions of others

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          Most cited references27

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          A unified statistical approach for determining significant signals in images of cerebral activation.

          We present a unified statistical theory for assessing the significance of apparent signal observed in noisy difference images. The results are usable in a wide range of applications, including fMRI, but are discussed with particular reference to PET images which represent changes in cerebral blood flow elicited by a specific cognitive or sensorimotor task. Our main result is an estimate of the P-value for local maxima of Gaussian, t, chi(2) and F fields over search regions of any shape or size in any number of dimensions. This unifies the P-values for large search areas in 2-D (Friston et al. [1991]: J Cereb Blood Flow Metab 11:690-699) large search regions in 3-D (Worsley et al. [1992]: J Cereb Blood Flow Metab 12:900-918) and the usual uncorrected P-value at a single pixel or voxel. Copyright (c) 1996 Wiley-Liss, Inc.
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            Action recognition in the premotor cortex.

            We recorded electrical activity from 532 neurons in the rostral part of inferior area 6 (area F5) of two macaque monkeys. Previous data had shown that neurons of this area discharge during goal-directed hand and mouth movements. We describe here the properties of a newly discovered set of F5 neurons ("mirror neurons', n = 92) all of which became active both when the monkey performed a given action and when it observed a similar action performed by the experimenter. Mirror neurons, in order to be visually triggered, required an interaction between the agent of the action and the object of it. The sight of the agent alone or of the object alone (three-dimensional objects, food) were ineffective. Hand and the mouth were by far the most effective agents. The actions most represented among those activating mirror neurons were grasping, manipulating and placing. In most mirror neurons (92%) there was a clear relation between the visual action they responded to and the motor response they coded. In approximately 30% of mirror neurons the congruence was very strict and the effective observed and executed actions corresponded both in terms of general action (e.g. grasping) and in terms of the way in which that action was executed (e.g. precision grip). We conclude by proposing that mirror neurons form a system for matching observation and execution of motor actions. We discuss the possible role of this system in action recognition and, given the proposed homology between F5 and human Brocca's region, we posit that a matching system, similar to that of mirror neurons exists in humans and could be involved in recognition of actions as well as phonetic gestures.
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              Grasping objects: the cortical mechanisms of visuomotor transformation.

              Grasping requires coding of the object's intrinsic properties (size and shape), and the transformation of these properties into a pattern of distal (finger and wrist) movements. Computational models address this behavior through the interaction of perceptual and motor schemas. In monkeys, the transformation of an object's intrinsic properties into specific grips takes place in a circuit that is formed by the inferior parietal lobule and the inferior premotor area (area F5). Neurons in both these areas code size, shape and orientation of objects, and specific types of grip that are necessary to grasp them. Grasping movements are coded more globally in the inferior parietal lobule, whereas they are more segmented in area F5. In humans, neuropsychological studies of patients with lesions to the parietal lobule confirm that primitive shape characteristics of an object for grasping are analyzed in the parietal lobe, and also demonstrate that this 'pragmatic' analysis of objects is separated from the 'semantic' analysis performed in the temporal lobe.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Biol
                pbio
                PLoS Biology
                Public Library of Science (San Francisco, USA )
                1544-9173
                1545-7885
                March 2005
                22 February 2005
                : 3
                : 3
                : e79
                Affiliations
                [1] 1Ahmanson-Lovelace Brain Mapping Center, Neuropsychiatric Institute David Geffen School of Medicine, University of California, Los Angeles, CaliforniaUnited States of America
                [2] 2Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine University of California, Los Angeles, CaliforniaUnited States of America
                [3] 3Brain Research Institute, David Geffen School of Medicine University of California, Los Angeles, CaliforniaUnited States of America
                [4] 4Center for Culture, Brain and Development, University of California, Los Angeles, CaliforniaUnited States of America
                [5] 5Department of Neurosciences University of ParmaItaly
                [6] 6Department of Neurology, David Geffen School of Medicine University of California, Los Angeles, CaliforniaUnited States of America
                [7] 7Department of Pharmacology, David Geffen School of Medicine University of California, Los Angeles, CaliforniaUnited States of America
                [8] 8Department of Radiological Sciences, David Geffen School of Medicine University of California, Los Angeles, CaliforniaUnited States of America
                University of Minnesota United States of America
                Article
                10.1371/journal.pbio.0030079
                1044835
                15736981
                93948a93-9e9c-4039-a93c-625fdf9048ea
                Copyright: © 2005 Iacoboni et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
                History
                : 25 July 2004
                : 27 December 2004
                Categories
                Research Article
                Neuroscience
                Homo (Human)

                Life sciences
                Life sciences

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